Abstract: This invention relates to a prescription decision support system of the type comprising a set of variables and domains, a first constraint base comprising a plurality of logical statements, an Assess algorithm module and a Consistent algorithm module. The logical statements of the first constraint base specify the combination of disease states and treatments that are present that should not occur in a prescription. The prescription decision support system further comprises a second constraint base comprising a plurality of logical statements, the logical statements specifying the combination of disease states and treatments, which treatments should be present in the prescription. By providing such a system, it is possible for the prescription decision to reason about complex relationships including the presence or absence of treatments, or dosages, or the presence or absence of disease states. Furthermore, the system is responsive to the specific nature of the patient's case history.

Abstract: A method is disclosed for maintaining and updating statistical trends of network delay to provide a predictive approach to synchronization. Necessary information, such as timing and stream ID information, is gathered from streams of data and future network delay values are predicted by constructing a measured packet-delay distribution curve. In a preferred embodiment, the inventive system maintains a delay histogram with a discrete set of quantization bins, each storing the relative frequency with which a particular delay value is expected to occur among the arriving packets. The histogram is then used to approximate the distribution in the form of a curve.